Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Molecular Shape and Polarity03:37

Molecular Shape and Polarity

75.9K
Dipole Moment of a Molecule
75.9K
Perceptual Constancy01:12

Perceptual Constancy

1.5K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.5K
Group Polarization01:01

Group Polarization

39.2K
Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
39.2K
Uniform Distribution01:19

Uniform Distribution

6.1K
The uniform distribution is a continuous probability distribution of events with an equal probability of occurrence. This distribution is rectangular.
Two essential properties of this distribution are
6.1K
Colors and Magnetism03:02

Colors and Magnetism

14.2K
Color in Coordination Complexes
When atoms or molecules absorb light at the proper frequency, their electrons are excited to higher-energy orbitals. For many main group atoms and molecules, the absorbed photons are in the ultraviolet range of the electromagnetic spectrum, which cannot be detected by the human eye. For coordination compounds, the energy difference between the d orbitals often allows photons in the visible range to be absorbed and emitted, which is seen as colors by the human...
14.2K
Color Vision01:24

Color Vision

1.5K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Scene-adaptive spatially channeled imaging Mueller polarimeter.

Optics express·2023
Same author

Multi-harmonic reconstruction of photoelastic modulator-based Mueller polarimeters using the complex Q-matrix.

Applied optics·2023
Same author

Spectral-temporal channeled spectropolarimetry using deep-learning-based adaptive filtering.

Optics letters·2021
Same author

Transcending conventional snapshot polarimeter performance via neuromorphically adaptive filters.

Optics express·2021
Same author

Nonseparable modulation strategy for channeled spatiotemporal Stokes polarimeters.

Applied optics·2021
Same author

Spectral-temporal hybrid modulation for channeled spectropolarimetry.

Applied optics·2020

Related Experiment Video

Updated: Feb 9, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.2K

Perceptually uniform color space for visualizing trivariate linear polarization imaging data.

Andrew W Kruse, Andrey S Alenin, Israel J Vaughn

    Optics Letters
    |June 2, 2018
    PubMed
    Summary

    This study introduces a new method for visualizing polarimetric data using the CAM02-UCS color space, improving accuracy and visibility compared to traditional HSV methods. This enhances the perception of polarization details, especially in low-light conditions.

    More Related Videos

    Training Synesthetic Letter-color Associations by Reading in Color
    10:27

    Training Synesthetic Letter-color Associations by Reading in Color

    Published on: February 20, 2014

    23.4K
    Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression
    08:15

    Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression

    Published on: July 28, 2023

    1.9K

    Related Experiment Videos

    Last Updated: Feb 9, 2026

    Trajectory Data Analyses for Pedestrian Space-time Activity Study
    16:14

    Trajectory Data Analyses for Pedestrian Space-time Activity Study

    Published on: February 25, 2013

    14.2K
    Training Synesthetic Letter-color Associations by Reading in Color
    10:27

    Training Synesthetic Letter-color Associations by Reading in Color

    Published on: February 20, 2014

    23.4K
    Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression
    08:15

    Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression

    Published on: July 28, 2023

    1.9K

    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Color Science

    Background:

    • Polarimetric data visualization commonly uses the HSV color space.
    • HSV is not perceptually uniform, leading to visualization inaccuracies and non-uniformity.
    • Existing methods struggle to accurately represent high polarization in low irradiance conditions.

    Purpose of the Study:

    • To develop a novel, perceptually accurate mapping strategy for polarimetric data.
    • To improve the visualization of polarization parameters by directly utilizing perceptually uniform color channels.
    • To enhance the visibility of regions with high polarization, even under low measured irradiance.

    Main Methods:

    • Developed a new mapping strategy for polarimetric data.
    • Utilized the perceptually uniform channels of the CAM02-UCS color space.
    • Directly mapped polarization parameters to CAM02-UCS channels.

    Main Results:

    • The new mapping strategy accurately depicts reality by avoiding perceptual channel mixing.
    • The visualization exhibits improved uniformity compared to HSV-based methods.
    • Regions of high polarization are more visible, particularly at low irradiance levels.

    Conclusions:

    • The proposed CAM02-UCS based mapping offers a superior method for visualizing polarimetric data.
    • This approach enhances perceptual accuracy and data interpretability.
    • The technique improves the detection of subtle polarization features in challenging measurement scenarios.